PyTorch: Part 1 - Tensors, The Building Blocks
Learn about PyTorch tensors, the fundamental data structure for deep learning. Understand how to create, manipulate, and perform operations on tensors.
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Amrit Adhikari
Software Engineer · Dallas, TX
Writing about software systems, Java, Spring Boot, and the slow process of getting better at this craft.
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PyTorch: Part 2 - Autograd, Automatic Gradients
Learn how PyTorch automatically calculates gradients using Autograd. Understand the computation graph and backpropagation basics.
PyTorch: Part 3 - Building Neural Networks
Learn how to build neural networks in PyTorch using nn.Module. Understand layers, activation functions, and the forward pass.
PyTorch: Part 4 - The Training Loop
Learn how to train neural networks in PyTorch. Understand loss functions, optimizers, and the complete training loop.
Building a Custom Spring Boot Starter for Reddit API
Learn how to create your own Spring Boot Starter by building an auto-configured Reddit API client.
Flyway Database Migrations with Spring Boot
Learn how to use Flyway for versioned database migrations in Spring Boot applications with PostgreSQL.